Clustering analysis of countries using the COVID-19 cases dataset
There is a worldwide effort of the research community to explore the medical, economic and sociologic impact of the COVID-19 pandemic. Many different disciplines try to find solutions and drive strategies to a great variety of different very crucial problems. The present study presents a novel analy...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-08-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920306818 |
| _version_ | 1818515040509100032 |
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| author | Vasilios Zarikas Stavros G. Poulopoulos Zoe Gareiou Efthimios Zervas |
| author_facet | Vasilios Zarikas Stavros G. Poulopoulos Zoe Gareiou Efthimios Zervas |
| author_sort | Vasilios Zarikas |
| collection | DOAJ |
| description | There is a worldwide effort of the research community to explore the medical, economic and sociologic impact of the COVID-19 pandemic. Many different disciplines try to find solutions and drive strategies to a great variety of different very crucial problems. The present study presents a novel analysis which results to clustering countries with respect to active cases, active cases per population and active cases per population and per area based on Johns Hopkins epidemiological data. The presented cluster results could be useful to a variety of different policy makers, such as physicians and managers of the health sector, economy/finance experts, politicians and even to sociologists. In addition, our work suggests a new specially designed clustering algorithm adapted to the request for comparison of the various COVID time-series of different countries. |
| first_indexed | 2024-12-11T00:23:50Z |
| format | Article |
| id | doaj.art-f414a8d80ccf41158927e0a3786eed71 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-11T00:23:50Z |
| publishDate | 2020-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-f414a8d80ccf41158927e0a3786eed712022-12-22T01:27:38ZengElsevierData in Brief2352-34092020-08-0131105787Clustering analysis of countries using the COVID-19 cases datasetVasilios Zarikas0Stavros G. Poulopoulos1Zoe Gareiou2Efthimios Zervas3School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan; General Department, University of Thessaly, Lamia, GreeceEnvironmental Science & Technology Group (ESTg), Chemical and Materials Engineering Department, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, KazakhstanSchool of Science and Technology, Hellenic Open University, Patra, GreeceSchool of Science and Technology, Hellenic Open University, Patra, Greece; Corresponding authorThere is a worldwide effort of the research community to explore the medical, economic and sociologic impact of the COVID-19 pandemic. Many different disciplines try to find solutions and drive strategies to a great variety of different very crucial problems. The present study presents a novel analysis which results to clustering countries with respect to active cases, active cases per population and active cases per population and per area based on Johns Hopkins epidemiological data. The presented cluster results could be useful to a variety of different policy makers, such as physicians and managers of the health sector, economy/finance experts, politicians and even to sociologists. In addition, our work suggests a new specially designed clustering algorithm adapted to the request for comparison of the various COVID time-series of different countries.http://www.sciencedirect.com/science/article/pii/S2352340920306818SARS-CoV-2ClusteringHierarchical methodTime seriesHealth policy |
| spellingShingle | Vasilios Zarikas Stavros G. Poulopoulos Zoe Gareiou Efthimios Zervas Clustering analysis of countries using the COVID-19 cases dataset Data in Brief SARS-CoV-2 Clustering Hierarchical method Time series Health policy |
| title | Clustering analysis of countries using the COVID-19 cases dataset |
| title_full | Clustering analysis of countries using the COVID-19 cases dataset |
| title_fullStr | Clustering analysis of countries using the COVID-19 cases dataset |
| title_full_unstemmed | Clustering analysis of countries using the COVID-19 cases dataset |
| title_short | Clustering analysis of countries using the COVID-19 cases dataset |
| title_sort | clustering analysis of countries using the covid 19 cases dataset |
| topic | SARS-CoV-2 Clustering Hierarchical method Time series Health policy |
| url | http://www.sciencedirect.com/science/article/pii/S2352340920306818 |
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